Question: Ensuring an adequate sample size to achieve statistical power reduces the risk of Type II errors (failing to detect an effect when there is one),

Ensuring an adequate sample size to achieve statistical power reduces the risk of Type II errors (failing to detect an effect when there is one), enhancing the ability to make valid conclusions regarding the efficacy of the intervention. Using power analysis will help determine the appropriate sample size (Aberson, 2019). For example, using a significance level () of 0.05, a power (1-) of 0.80, and an expected effect size based on previous studies (e.g., Cohen's d = 0.5 for medium effect). For a paired t-test, a power analysis might indicate that a sample size of approximately 64 participants is needed to detect a medium effect size at the specified power level (Aberson, 2019). The sample of individuals contributing data to the evaluation of the NeurodiversitEase program will consist of neurodivergent adults aged 18-40, specifically targeting those diagnosed with ASD and ADHD. This group will be intentionally diverse, encompassing various genders and cultural backgrounds to ensure a comprehensive representation of the neurodivergent community. Participants will be selected based on their experiences with challenges such as sensory sensitivities, difficulties in social interactions, and the necessity for structured routines, which are common among individuals with ASD and ADHD. By including a wide range of perspectives, the evaluation aims to capture the unique needs and experiences of these adults, particularly in relation to stress and burnout in non-accommodating environm

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